z-logo
open-access-imgOpen Access
Stability Analysis of a Vector-Borne Disease with Variable Human Population
Author(s) -
Muhammad Ozair,
Abid Ali Lashari,
Il Hyo Jung,
Young Il Seo,
Byul Nim Kim
Publication year - 2013
Publication title -
abstract and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 56
eISSN - 1687-0409
pISSN - 1085-3375
DOI - 10.1155/2013/293293
Subject(s) - population , stability (learning theory) , algorithm , stability theory , mathematics , computer science , machine learning , physics , demography , nonlinear system , quantum mechanics , sociology
A mathematical model of a vector-borne disease involving variable human population is analyzed. The varying population size includes a term for disease-related deaths. Equilibria and stability are determined for the system of ordinary differential equations. If R0≤1, the disease-“free” equilibrium is globally asymptotically stable and the disease always dies out. If R0>1, a unique “endemic” equilibrium is globally asymptotically stable in the interior of feasible region and the disease persists at the “endemic” level. Our theoretical results are sustained by numerical simulations

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom